The present invention provides a water quality analysis system capable of making multiple simultaneous measurements of different water quality parameters and saving or transmitting this data for analysis. A housing surrounds a data processor and a water sensor flow cell. The flow cell incorporates a channel through which a stream of water flows. Multiple probe bores within the flow cell house different sensor probes used to measure different water quality parameters of the stream. The data processor receives and digitizes data for the different water quality parameters.

The present disclosure discloses a method for assessing soil health of cultivated land, which adopts three sets of dual index assessment systems, that is an index system for current soil function and a healthy soil function required by crops, an index system for current soil nutrition and healthy soil nutrition required by crops, and an index system for current crop output of cultivated land and a crop output expected by cultivated land users or owners. The method solves the shortcomings of the existing assessment systems that the existing soil health assessment index system has no hierarchy and applicability. This method includes using deviating degree of ratio R e.g., the index current value C/index health value E of measured dual index from 1 as well as it is simple, and the assessment result may directly determine the indicators or factors that can be used for guiding soil improvement and conservation.

An analytics system uses soil health indicators to determine metrics for soil samples. In an embodiment, the analytics system receives metadata describing a soil sample, where the metadata indicates one or more types of crops grown in a geographical location having the soil sample. The analytics system determines nucleic acid sequence reads of the soil sample. The analytics system determines taxonomic information of the nucleic acid sequence reads. The analytics system determines microbial composition of the soil sample using the taxonomic information. The analytics system determines reference metrics of soil samples from geographical locations in which the one or more types of crop were grown. The analytics system determines a metric of the soil sample using the microbial composition and the reference metrics. The analytics system transmits the metric to a client device.

Inventions provided are designed to improve states of agriculture sites and crops, in relation to agricultural inputs and management practices. Some inventions covered are able to generate agronomic indices and execute actions in response to agronomic indices at an agriculture site. An example method includes receiving samples associated with the agriculture site; generating a sample dataset upon processing the samples with a set of sample processing operations; generating a set of microbiome-associated features upon performing a set of transformation operations upon the sample dataset, wherein the set of microbiome-associated features comprises taxonomic annotations, functional annotations and ecological indices; generating values of a set of agronomic indices based upon the set of microbiome-associated features; and executing an action for producing a desired outcome at the agriculture site, based upon the set of agronomic indices.

The disclosed apparatus, systems and methods relate to estimating the rate of biodegradation of contaminants in the ground by measuring thermal gradients in the vadose zone where heat is produced by biodegradation reactions, and averaging over a full seasonal period, such as one year or one seasonal cycle, in which the groundwater temperatures and surface temperatures vary in a cyclical manner. Exemplary embodiments correct for the delay required by the heat being produced in the ground to reach the locations where the temperature gradients are measured, and also cancels out the signal noise caused by the changing surface and groundwater temperatures. In further embodiments, a mathematical model is a provided to test the validity of the invention on two example sites.

Methods and systems for generating agronomic indices and executing one or more actions in response to said agronomic indices at an agriculture site, the method comprising: receiving a set of samples associated with the agriculture site; generating a sample dataset upon processing the set of samples with a set of sample processing operations; generating a set of microbiome-associated features upon performing a set of transformation operations upon the sample dataset, wherein the set of microbiome-associated features comprises a first subset of taxonomic annotations, a second subset of functional annotations and a third subset of ecological indices; generating values of a set of agronomic indices based upon the set of microbiome-associated features; and executing an action for producing a desired outcome at the agriculture site, based upon the set of agronomic indices.

Systems and methods for evaluating biological materials at reservoir conditions include a reactor housing and a plurality of test columns having source rock sample holders. The plurality of test columns is disposed within the reactor housing. A pump is fluidly coupled to the reactor housing. A heating element is coupled to the reactor housing; and one or more sensors are coupled to the test columns configured to measure properties of biomaterials or biochemical interactions in the rock samples.

The invention comprises a method for determining the spore color index (SCI) in organopalynological slides. The slide is loaded into a motorized optical microscope that automatically scans and takes images. A previously trained Deep Learning-based artificial intelligence automatically identifies sporomorphs in the images obtained and a computer calculates the SCI of each image based on a calibration equation obtained with standard SCI slides. This equation correlates the intensity of the red color channel of each sporomorph and its respective SCI, allowing an automatic calculation for other sporomorphs captured under the same lighting conditions.

The present disclosure provides a method for separating and analyzing biomarkers from sediments, source rocks, or reservoir rocks. Conventional techniques require different separation and analysis procedures depending on the type of biomarker, leading to increased process complexity and cost. To address these limitations, the present disclosure enables the simultaneous separation and analysis of various types of biomarkers through a single process, thereby improving efficiency and reducing operational costs.

A method for carbon sequestration includes receiving geophysical survey data. The method also includes building a three-dimensional (3D) model based upon the geophysical survey data. The method also includes calibrating the 3D model to produce a calibrated 3D model. The method also includes extracting a soil layer from the calibrated 3D model to produce an extracted soil layer. The method also includes designing a soil-sampling campaign based upon the extracted soil layer. The soil-sampling campaign includes a plurality of cores. The method also includes determining characteristics of the cores. The method also includes propagating the characteristics through the calibrated 3D model to produce a 3D property model.